Xylem |zlm|
1) The tissue in plants that brings water upward from the roots;
2) a leading global water technology company.
We're a global team unified in a common purpose: creating advanced technology solutions to the world's water challenges. Developing new technologies that will improve the way water is used, conserved, and re-used in the future is central to our work. Our products and services move, treat, analyze, monitor and return water to the environment, in public utility, industrial, residential and commercial building services settings. Xylem also provides a leading portfolio of smart metering, network technologies and advanced analytics solutions for water, electric and gas utilities. In more than 150 countries, we have strong, long-standing relationships with customers who know us for our powerful combination of leading product brands and applications expertise with a strong focus on developing comprehensive, sustainable solutions. For more information, please visit us at www.xylem.com .
If you are excited and passionate about helping us solve water, we want to hear from you!
The Role: Xylem is seeking candidates with a Machine Learning / Software Engineering background to join our team as a Senior Data Scientist / Machine Learning Engineer. As a member of our Data Science team, the incumbent will design, develop and test machine learning workflows / applications to integrate with Xylem applications. The successful candidate will demonstrate the ability to succeed in a fast paced, fluid environment, while ensuring that project initiatives are met. If you are excited and passionate to work on state-of-the art data science technology trends, we want to hear from you!
Essential Duties/Principal Responsibilities:
Build game-changing software applications and analytics tools
Write Machine Learning and software code that runs on the cloud, on premise and/or upon microcontrollers (depending on the project at hand).
Be able to take on projects with time series based ML techniques, clustering, deep learning, etc.
Minimum Qualifications: Education, Experience, Skills, Abilities, License/Certification:
Bachelors degree or higher in a conventional field like Science, Engineering, Computer Science, Applied Mathematics/Statistics, Data Science or equivalent.
3+ years' relevant experience
Scripting experience (python, bash, etc), and probability/advanced statistics
Experience applying Machine Learning to real world problems through either higher level academic research or real world environment work experience.
Experience using Linux and open source technologies
Openness towards learning the cloud (AWS) ecosystem of web services
Ability to work collaboratively within a team environment of data scientists/engineers to meet aggressive goals and high quality standards
Demonstrated experience working with cross functional teams
Desire to build game-changing software applications and analytics tools
Take great personal pride in building robust software
Strong sense of ownership and drive
Passionate about applications, analytics, storage and distributed systems
Enjoy working in a fast-paced agile environment using Scrum
Strong attention to detail.
Ability to meet deadlines/schedules.
Excellent written and verbal communication skills
Strong customer focus
Preferred Qualifications:
Experience with deep learning/image recognition.
Experience with ML packages/tools like Scikit, Tensorflow, Sagemaker, etc
Experience with SQL
Physical Demands:
(The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)
Work Environment:
(The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)
Office: Standard office equipment; work usually performed in an office setting free from any disagreeable elements.
Standard weekly job hours: 40 hours
Xylem is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
